Papers
Exploring interpretable LSTM neural networks over multi-variable data
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Exploring the Landscape of Spatial Robustness
Logan Engstrom, Brandon Tran, Dimitris Tsipras et al.
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel Brown, Wonjoon Goo, Prabhat Nagarajan et al.
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern
Fairness-Aware Learning for Continuous Attributes and Treatments
Jeremie Mary, Clément Calauzènes, Noureddine El Karoui
Fairness risk measures
Robert Williamson, Aditya Menon
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
Berk Ustun, Yang Liu, David Parkes
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
Alekh Agarwal, Miroslav Dudik, Zhiwei Steven Wu
Fairwashing: the risk of rationalization
Ulrich Aivodji, Hiromi Arai, Olivier Fortineau et al.
Fast Algorithm for Generalized Multinomial Models with Ranking Data
Jiaqi Gu, Guosheng Yin
Fast and Flexible Inference of Joint Distributions from their Marginals
Charlie Frogner, Tomaso Poggio
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
Chenyang Zhang, Guosheng Yin
Fast Context Adaptation via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarli, Vitaly Kurin et al.
Faster Algorithms for Binary Matrix Factorization
Ravi Kumar, Rina Panigrahy, Ali Rahimi et al.
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
Karl Stelzner, Robert Peharz, Kristian Kersting
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
Feihu Huang, Songcan Chen, Heng Huang
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
Pin-Yu Chen, Lingfei Wu, Sijia Liu et al.
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
Henry Reeve, Ata Kaban
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao, Bryon Aragam, Bingjing Zhang et al.
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li, Yongxin Yang, Wei Zhou et al.
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
Sergul Aydore, Bertrand Thirion, Gael Varoquaux
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh, Chen Liu, Volkan Cevher
Finding Options that Minimize Planning Time
Yuu Jinnai, David Abel, David Hershkowitz et al.